⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
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Updated
Oct 8, 2024 - Python
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
Serving 4-bit Qwen3.8-27B on a single DGX Spark (GB10): 75 tok/s single-stream, 246 tok/s aggregate at 8-way concurrency. NVFP4 vs MixedInt4-AutoRound vs the FP8 baseline, measured on one harness — including why the quantization advantage collapses to +0.2% by c16.
Production runbook for Qwen3.5-122B hybrid INT4+FP8 on NVIDIA DGX Spark GB10 — optimization stack, PD firmware wedge diagnosis, bench results
Qwen3-8B quantization study across vLLM, TensorRT-LLM, AutoRound, INT8, and MXFP4
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